Shivik Labs is a deep-tech research and engineering unit dedicated to building foundational intelligence architectures.
To address the trade-off between accuracy and cross-city generalization in traffic flow estimation, a research team from The ...
Abstract: Traditional optimization-based techniques for time-synchronized state estimation (SE) often suffer from high online computational burden, limited phasor measurement unit (PMU) coverage, and ...
Network-wide traffic flow, which represents the dynamic traffic volumes on each link of a road network, is fundamental to smart cities. However, the ...
Objective: Alzheimer’s disease (AD) is mainly identified by cognitive function deterioration. Diagnosing AD at early stages poses significant challenges for both researchers and healthcare ...
Abstract: Graph Neural Networks (GNNs) have emerged as a promising solution for few-shot hyperspectral image (HSI) classification. However, existing GNN-based approaches face critical limitations in ...
Multi-electrode arrays (MEAs) provide a noninvasive interface with sub-millisecond temporal resolution and long-term, ...
A key lesson was to measure what matters. From the outset, we defined clear success metrics—latency reduction, resource ...
Put the pieces together and you can see a plausible near-future where human scientists focus more on choosing good questions and interpreting results, while an invisible layer of AI systems handles ...
Apple’s “App Intents” and Huawei’s “Intelligent Agent Framework” allow the OS to expose app functionalities as discrete actions the AI can invoke. More aggressive implementations use multimodal vision ...
Here are 11 free NPTEL data science and analytics courses from leading IITs cover graph theory, Bayesian modelling, Python, R, databases and big-data stats. These are all free to audit, and enrolment ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results